Pascal Esser
5 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (5) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (14)
π§
Keyword Pioneer
β
The Questioner
Conferences
AAAI (2)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
representation learning
(3)
contrastive learning
(2)
principal component analysis
(2)
transductive learning
(1)
self-supervised learning
(1)
tensor decomposition
(1)
semi-definite programming
(1)
rademacher complexity
(1)
transductive inference
(1)
spectral embedding
(1)
node classification
(1)
training dynamics
(1)
generalisation bound
(1)
kernel methods
(1)
graph neural network
(1)
kernel autoencoder
(1)
planted clustering
(1)
generalisation error bound
(1)
comparison-based clustering
(1)
ordinal comparison
(1)
Papers
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
AAAI 2025
Non-parametric Representation Learning with Kernels
AAAI 2024
Improved Representation Learning Through Tensorized Autoencoders
AISTATS 2023
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
NIPS 2021
Near-Optimal Comparison Based Clustering
NIPS 2020